Abnormality detection device of fuel vapor escape prevention system

1. An abnormality detection device of a fuel vapor escape prevention system comprising: a canister formed with a fuel vapor chamber and atmospheric pressure chamber at the two sides of an activated carbon layer, the fuel vapor chamber being on the one hand communicated with an inside space above a fuel level of a fuel tank and on the other hand communicated through a purge control valve with an intake passage of an engine, a flow path switching valve able to selectively connect the atmospheric pressure chamber to the atmosphere and a suction pump, and a pressure sensor detecting pressure at an inside of the fuel tank and inside of the canister, wherein at the time of stopping operation of the vehicle, processing for detection of an abnormality is performed to generate a valve closing instruction making the purge control valve close, a switching instruction switching a switched position of the flow path switching valve to a switched position at which the atmospheric pressure chamber is connected to the suction pump, and a pump operation instruction making the suction pump operate to make the inside of the fuel tank and inside of the canister a negative pressure, at the time the processing for detection of an abnormality is performed, a pressures at the inside of the fuel tank and inside of the canister detected by the pressure sensor at every fixed time are stored in a storage device, a learned neural network learned in weights using the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and at least the atmospheric pressure when the processing for detection of an abnormality is performed as input parameters of the neural network and using a case where perforation occurs in the system causing leakage of fuel vapor as a truth label is stored, and at the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from said input parameters by using the learned neural network.

2. The abnormality detection device of a fuel vapor escape prevention system according to claim 1 , wherein the processing for detection of an abnormality includes processing for generating a valve opening instruction making the purge control valve open after generating a valve closing instruction of the purge control valve, a learned neural network learned in weights using the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and at least the atmospheric pressure when the processing for detection of an abnormality is performed as input parameters of the neural network and using a case where when perforation occurs in the system causing leakage of fuel vapor, a case where a valve opening abnormality occurs in which the purge control valve continues opened, and a case where a valve closing abnormality occurs in which the purge control valve continues closed as truth labels, respectively, is stored, and, at the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak, a valve opening abnormality of the purge control valve, and a valve closing abnormality of the purge control valve are detected from the input parameters by using the learned neural network.

3. The abnormality detection device of a fuel vapor escape prevention system according to claim 1 , wherein the input parameters are comprised of the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device, the atmospheric pressure when the processing for detection of an abnormality is performed, and a remaining amount of a fuel in the fuel tank when the processing for detection of an abnormality is performed.

4. The abnormality detection device of a fuel vapor escape prevention system according to claim 1 , wherein the input parameters are comprised of the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device, the atmospheric pressure when the processing for detection of an abnormality is performed, a remaining amount of a fuel in the fuel tank when the processing for detection of an abnormality is performed, a temperature of the fuel in the fuel tank, and a parameter showing a capacity of the suction pump.

5. An abnormality detection device of a fuel vapor escape prevention system comprising: a canister formed with a fuel vapor chamber and atmospheric pressure chamber at the two sides of an activated carbon layer, the fuel vapor chamber being on the one hand communicated with an inside space above a fuel level of a fuel tank and on the other hand communicated through a purge control valve with an intake passage of an engine, a flow path switching valve able to selectively connect the atmospheric pressure chamber to the atmosphere and a suction pump, a passage from the flow path switching valve toward the atmospheric pressure chamber and a suction passage from the flow path switching valve toward the suction pump being connected by a reference pressure detection passage having a restricted opening, and a pressure sensor arranged in the suction passage from the flow path switching valve toward the suction pump, at the time of stopping operation of the vehicle, processing for detection of an abnormality is performed to generate a valve closing instruction making the purge control valve close, a pump operation instruction making the suction pump operate to make an inside of the fuel tank and inside of the canister a negative pressure while maintaining a switched position of the flow path switching valve at a switched position where the atmospheric pressure chamber is connected to the atmosphere when a predetermined time elapses after stopping operation of the vehicle, a switching instruction switching the switched position of the flow path switching valve to a switched position at which the atmospheric pressure chamber is connected to the suction pump after generation of the pump operation instruction, and a valve opening instruction making the purge control valve open after the generation of the switching instruction, at the time the processing for detection of an abnormality is performed, a pressures at the inside of the fuel tank and inside of the canister detected by the pressure sensor at every fixed time are stored in a storage device, a learned neural network learned in weights using the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and at least the atmospheric pressure when the processing for detection of an abnormality is performed as input parameters of the neural network and using a case where perforation occurs in the system causing leakage of fuel vapor as a truth label is stored, and, at the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak is detected from said input parameters by using the learned neural network.

6. The abnormality detection device of a fuel vapor escape prevention system described in claim 5 , wherein a learned neural network learned in weights using the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and at least the atmospheric pressure when the processing for detection of an abnormality is performed as input parameters of the neural network and using a case where perforation occurs in the system causing leakage of fuel vapor, a case where a valve opening abnormality occurs in which the purge control valve continues opened, a case where a valve closing abnormality occurs in which the purge control valve continues closed, a case where an abnormality occurs in the pressure sensor, a case where a switching abnormality occurs in which the switched position of the flow path switching valve is maintained at a switched position connecting the atmospheric pressure chamber to the atmosphere, a case where a switching abnormality occurs in which the switched position of the flow path switching valve is maintained at a switched position connecting the atmospheric pressure chamber to the suction pump, a case where an abnormality occurs in which the suction pump continues operating, and a case where an abnormality occurs in which the suction pump continues stopped, respectively, as truth labels is stored, and at the time of stopping operation of the vehicle, a perforation abnormality causing fuel vapor to leak, the valve opening abnormality of the purge control valve, the valve closing abnormality of the purge control valve, an abnormality of the pressure sensor, the switching abnormality of the flow path switching valve, and an abnormality of the suction pump are detected from the input parameters by using the learned neural network.

7. The abnormality detection device of a fuel vapor escape prevention system according to claim 5 , wherein the input parameters are comprised of the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and the atmospheric pressure when the processing for detection of an abnormality is performed and a remaining amount of a fuel in the fuel tank when the processing for detection of an abnormality is performed.

8. The abnormality detection device of a fuel vapor escape prevention system according to claim 5 , wherein the input parameters are comprised of the pressures at the inside of the fuel tank and inside of the canister at every fixed time stored in the storage device and the atmospheric pressure when the processing for detection of an abnormality is performed, a remaining amount of a fuel in the fuel tank when the processing for detection of an abnormality is performed, a temperature of the fuel in the fuel tank, and a parameter showing a capacity of the suction pump.